Combinatorial synthesis of solid-state materials comprises the use of automation or
parallelization to systematically vary synthesis parameters. This approach to materials …

Optimal design of polymers is a challenging task due to their enormous chemical and
configurational space. Recent advances in computations, machine learning, and increasing …

It has been shown that oxide ceramics containing multiple transition and/or rare-earth
elements in equimolar ratios have a strong tendency to crystallize in simple single-phase …

The increasing demand for “clean” and efficient energy has resulted in an increased global
willingness to embrace the proposed “hydrogen economy” as a potential long term solution …

Rational materials design based on prior knowledge is attractive because it promises to
avoid time-consuming synthesis and testing of numerous materials candidates. However …

Cell–matrix interactions have critical roles in regeneration, development and disease. The
work presented here demonstrates that encapsulated human mesenchymal stem cells …

Understanding the relationships between material surface properties and cellular responses
is essential to designing optimal material surfaces for implantation and tissue engineering …

In order to accelerate tissue-engineering research, a combinatorial approach for
investigating the effect of surface energy on cell response has been developed. Surface …

Chemical and biological sensors have found their niche among modern analytical
instruments when real-time determination of the concentration of specific sample …

Machine learning has the potential to dramatically accelerate high-throughput approaches
to materials design, as demonstrated by successes in biomolecular design and hard …